Resting Energy Expenditure (REE) in Six- to Seventeen-Year-Old Japanese Children and Adolescents

Resting Energy Expenditure (REE) in Six- to Seventeen-Year-Old Japanese Children and Adolescents
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DOI:
10.3177/jnsv.59.299
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发表时间:
2013-08-01
影响因子:
1.6
通讯作者:
Ishikawa-Takata, Kazuko
Ishikawa-Takata, Kazuko
中科院分区:
医学4区
文献类型:
--
作者:
Kaneko, Kayoko;Ito, Chinatsu;Ishikawa-Takata, Kazuko

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准确估计儿童和青少年的静息能量消耗(REE)对于估算日本人口的能量需求非常重要。我们的目标是1)通过间接量热法确定6- 17岁日本儿童和青少年的REE,以估计该群体的能量消耗;2)比较测量的BEE与预测的REE,以确定日本儿童和青少年REE预测方程的准确性;3)基于测量的BEE推导出新的日本儿童和青少年REE预测方程。使用通风间接量热仪测量了221名6至17岁的日本儿童和青少年(113名男孩和108名女孩)的REE。还进行了人体测量和身体成分测量。REE的绝对值在两性中均随年龄增长而增加,且在12-17岁年龄组中存在显著的性别差异。BEE与体重(BW)和无脂质量(FFM)密切相关。根据体重或PPM调整的REE在男女中都随年龄的增长而下降,并且在调整后的12-17岁年龄组中仍然观察到性别差异。对男孩使用日本人膳食参考摄入量(1969年)和对女孩使用莫尔纳方程获得了最高的预测精度。采用年龄、性别、体重和身高的组合,或年龄、性别、PPM和脂肪量(FM)的组合进行降压多元回归分析。预测方程分别占方差的75% (R-2)和76%。综上所述,随着年龄的增长,绝对稀土元素增加,而根据体重或PPM调整的稀土元素减少。主要决定因素是PPM,但绝对BEE和调整REE在12-17 y范围内存在显著的性别差异。
Accurate estimation of resting energy expenditure (REE) in children and adolescents is important to establish estimated energy requirements for the Japanese population. Our objectives were 1) to determine the REE of 6- to 17-y-old Japanese children and adolescents by indirect calorimetry in order to estimate energy expenditure for this group, 2) to compare measured BEE with predicted REE to determine the accuracy of predictive equations of REE for Japanese children and adolescents, and 3) to derive new predictive equations for REE for Japanese children and adolescents based on measured BEE. REE was measured in 221 Japanese children and adolescents, aged 6 to 17 y old (113 boys and 108 girls) using a ventilated indirect calorimeter. Anthropometric and body composition measurements were also performed. REE expressed as absolute values increased with age in both genders, and there was a significant difference between genders in the 12-17 y age group. BEE was strongly correlated with body weight (BW) and fat-free mass (FFM). REE adjusted for BW or PPM decreased with age in both genders, and a gender difference was still observed in the 12-17 y age group after this adjustment. The highest accuracy of prediction was achieved using the Dietary Reference Intake for Japanese (1969) for boys and the Molnar equation for girls. Step-down multiple regression analysis was carried out using either a combination of age, gender, BW, and height, or a combination of age, gender, PPM, and fat mass (FM). The predictive equation accounted for 75% (R-2) and 76% of the variance, respectively. In conclusion, absolute REE increased and REE adjusted for BW or PPM decreased with age. The major determinant of BEE was PPM, but significant gender differences were observed in the 12-17 y range for both absolute BEE and adjusted REE.